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Erschienen in:
2016 | OriginalPaper | Buchkapitel
A Novel Load Balance Algorithm for Cloud Computing
verfasst von : Linlin Tang, Jeng-Shyang Pan, Yuanyuan Hu, Pingfei Ren, Yu Tian, Hongnan Zhao
Erschienen in: Genetic and Evolutionary Computing
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A good scheduling algorithm is a key for load balance system, in which system’s load meets users’ requirement. Here, a new load balance algorithm based on swarm intelligence is proposed which can enhance the production of the systems while schedule tasks to VMs properly. Here tasks completion time is compared with some other classical algorithms. The result shows that the proposed algorithm could meet users’ requirement and get resource utilization higher. The algorithm is better for network of a large area which is simulated by CloudSim.